جست‌وجوی استاد و پژوهشگر

Ina Schieringمشاهده پروفایل

استاد

• IT Security
• Privacy
• Data Governance
• +۶ مورد دیگر

Professor Ina Schiering is a distinguished academic at Ostfalia University of Applied Sciences, serving as Professor in the Faculty of Computer Science. She will assume the role of Vice President for Research, Development and Technology Transfer in September 2025, and currently holds a Research Professorship (2021-2026). Professor Schiering serves in numerous leadership roles including Managing Director of the Institute for Distributed Systems, Board member of the Center for Digital Technologies (DIGIT), and Deputy spokesperson of the cooperative doctoral program "Digital Transformation to a Sustainable Society" of TU Clausthal and Ostfalia University. Her research interests span IT Security, Privacy (particularly data protection risks and data protection impact assessment), Data Governance, and Datensouveränität. She also focuses on Digital Transformation applications in fields like forest and water management, Assistive Technologies for inclusion, and Internet of Things with Wireless Sensor Networks. Professor Schiering leads a research group with over a dozen members working on projects that bridge technical security aspects with practical applications in healthcare, rehabilitation, and environmental contexts. Professor Schiering's recent publications demonstrate a strong focus on privacy by design frameworks, data protection impact assessments, and the development of assistive technologies like the RehaGoal App. Her work shows a consistent trajectory toward making digital technologies more secure, privacy-preserving, and accessible for diverse user groups, particularly those with cognitive challenges. Her scientific contributions include numerous publications in reputable venues, with recent work appearing in IEEE Access, Springer's IFIP series, and specialized journals in privacy, security, and rehabilitation. She has co-edited several volumes of Privacy and Identity Management proceedings and has made significant contributions to the understanding of data protection in digital environments. Professor Schiering actively supervises students, with opportunities available for Bachelor's and Master's theses in Security, Privacy, and Applied Cryptography. Her lab provides students with hands-on experience in developing practical solutions for real-world challenges in digital security and privacy.

Tobias Gebelمشاهده پروفایل

پژوهشگر

• Research data management
• Qualitative secondary analysis
• Labor market research
• +۲ مورد دیگر

Tobias Gebel serves as Deputy Head of the IT and Research Infrastructure Department at the German Institute for Economic Research (DIW Berlin), where he leads initiatives in research data systems and infrastructure. His role centers on advancing data management practices for economic and social research. His educational background includes: Doctorate in Sociology from Bielefeld University Studies in Sociology at Chemnitz University of Technology Gebel's research integrates technical and social science methodologies, with primary expertise in research data management, qualitative secondary analysis, and labor market dynamics. He pioneers frameworks for anonymizing survey data, developing digital repositories for historical economic archives, and enabling sustainable reuse of qualitative organizational data. His work bridges data science with labor economics, emphasizing ethical data sharing and infrastructure innovation to address challenges in employment research and organizational studies. Recent publications reveal a cohesive trajectory: advancing data anonymization protocols for large-scale surveys (e.g., LINOS and SOEP projects), establishing digital archives for historical economic documents (WBdigital), and applying qualitative secondary analysis to labor market phenomena like job recalls. These efforts demonstrate an interdisciplinary fusion of data engineering, labor economics, and organizational theory, with consistent focus on methodological rigor and practical applicability in real-world policy contexts. No scientific awards are documented in the provided information. Gebel actively leads grant-funded projects including the current QualiDataNet initiative—a federated infrastructure for archiving qualitative research data—and previously contributed to CoyPu (resilience platforms for economic ecosystems), eLabour II (IT-based labor sociology research), and WBdigital (digitization of DIW's historical publications). These projects underscore his strategic role in securing and executing research funding to build national data ecosystems. He co-develops critical research infrastructures including the Research Data Center for Business and Organizational Data (FDZ-BO) and QualiDataNet, which standardize data curation, anonymization, and access protocols for qualitative datasets. These teams collaborate with federal agencies and academic networks to promote FAIR data principles across German social science research.

Bruno Albertمشاهده پروفایل

پژوهشگر

• Digital Policy
• Law and Technology
• Data Protection
• +۲ مورد دیگر

Bruno Albert is a Researcher at the Bavarian Research Institute for Digital Transformation (bidt) in the Research Department, conducting interdisciplinary work on the "State Intervention in Private Devices for Law Enforcement" project since April 2024, which examines social acceptance and legal frameworks from law, computer science, and social science perspectives. His educational background includes: Master's degree in Southeast European Studies from the University of Macedonia in Thessaloniki Master's degree in Political Science from the University of Bamberg Studies in Political Science and Sociology at the University of Mannheim Albert's research centers on Digital Policy and Law and Technology, with specialized focus on Data Protection and the Sociology of Technology, analyzing state-device interactions in law enforcement through societal, legal, and technical lenses. His prior work involved survey data protection at the Leibniz Institute for Educational Trajectories (LIfBi) and technology-society dynamics at FAU Erlangen-Nuremberg's Sociology Chair. No scientific awards or grants were documented in the source material. Albert's professional trajectory demonstrates consistent engagement with digital governance challenges, transitioning from European studies to applied tech-policy research, though no student advisement or dedicated lab structures were referenced.

Andrey Kurekinمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Marine Earth Observation
• Satellite Data Processing
• +۶ مورد دیگر

Dr. Andrey Kurekin serves as a Marine Earth Observation Scientist at Plymouth Marine Laboratory (PML), where he has worked since 2010. His institutional affiliations include membership in the Ocean Surface Topography Science Team (OST/ST) and Sentinel-6 Validation Team, reflecting his specialized role in satellite data validation. At PML, he leads research initiatives focused on translating remote sensing technology into operational marine monitoring solutions. His research centers on developing advanced algorithms for satellite data interpretation, with particular emphasis on automated detection systems for environmental phenomena. Key application areas include harmful algal bloom discrimination using ocean color data, oil spill monitoring through SAR imagery analysis, internal wave mapping at continental shelves, and radar altimetry processing for sea surface height estimation. This work bridges technical remote sensing expertise with practical environmental management needs, especially in coastal zones where optical complexity challenges conventional satellite methods. Dr. Kurekin's publication record demonstrates consistent contributions to marine remote sensing methodology, with recent work focusing on time-series SAR analysis for aquaculture monitoring and sensitivity testing of algal bloom detection algorithms. His research shows strong alignment with sustainable development goals, particularly in fisheries management and coastal ecosystem protection. He maintains active grant funding through leadership of international projects including NextOcean (Earth observation services for sustainable fisheries), Safe and Sustainable Shellfish (BBSRC-funded HAB early warning system), and GCRF Blue Communities (aquaculture monitoring in developing nations). These projects involve collaboration with institutions across Europe, West Africa, and Southeast Asia, demonstrating his role in global marine science networks. Within PML's multidisciplinary research environment, Dr. Kurekin contributes to a team of marine scientists and remote sensing specialists working at the intersection of satellite technology and oceanographic applications. His projects emphasize operational implementation of research outputs, creating direct pathways for scientific innovation to impact environmental management practices worldwide.

Rebekah Overdorfمشاهده پروفایل

استاد پژوهشی

• Computer Security
• Privacy
• Information Integrity
• +۷ مورد دیگر

Rebekah Overdorf is a Research Professor and Chair for Security and Trustworthiness of Online Information at Ruhr University Bochum, where she leads research at the intersection of computer security, privacy, and information integrity. She is also affiliated with the Research Center for Trustworthy Data Science and Security. Her research focuses on identifying and mitigating threats to information integrity in online platforms, with particular expertise in detecting disinformation campaigns, analyzing propaganda distribution channels, and developing methods to protect user privacy. Overdorf's work combines data science and machine learning approaches with security expertise to address contemporary challenges in online information ecosystems. Analysis of her recent publications reveals a consistent focus on security and privacy challenges in social media environments, with particular attention to Telegram and Twitter platforms. Her research spans technical analysis of bot networks and propaganda distribution mechanisms, development of detection methodologies for disinformation campaigns, and creation of protective technologies that empower users against algorithmic manipulation. Over the past decade, her work has evolved from foundational research in stylometry and authorship attribution to more applied security challenges in contemporary social media ecosystems. Professor Overdorf has received recognition through publications in top security and social media conferences including USENIX Security, ICWSM, EuroS&P, and FAT*. Her collaborative research approach is evident in her extensive co-authorship network spanning multiple institutions across Europe and North America. Her advising and research activities focus on training the next generation of security researchers while developing practical solutions to pressing information integrity challenges. Through her leadership of the Chair for Security and Trustworthiness of Online Information, she oversees research projects that address real-world security threats while maintaining academic rigor. The Chair for Security and Trustworthiness of Online Information serves as a hub for interdisciplinary research, bringing together computer scientists, social scientists, and policy experts to develop comprehensive approaches to online security challenges. Current projects focus on detecting coordinated inauthentic behavior, analyzing state-sponsored disinformation campaigns, and developing privacy-aware technologies that maintain functionality while protecting user data.

Andreas Schmietendorfمشاهده پروفایل

استاد

• Software Engineering
• Business Informatics
• System Development
• +۱۱ مورد دیگر

Prof. Dr. Andreas Schmietendorf is a Professor of Business Informatics – System Development at the Berlin School of Economics and Law (HWR Berlin) and holds a private lectureship in Software Engineering at the Otto von Guericke University Magdeburg. He leads the Business Informatics – System Development research group and is actively involved in the HWR doctoral college and Competence Center Digitization. His research focuses on the intersection of software engineering, business informatics, and artificial intelligence, with particular emphasis on: AI-driven changes in software engineering practices Trustworthy AI implementations in domain-specific contexts Web API security and management Digital transformation through low-code development approaches Requirements engineering for trustworthy digital services Prof. Schmietendorf's recent work has centered on the TAHAI (TrustAdHocAI) research project, which investigates trustworthy ad-hoc AI solutions across multiple domains including railway infrastructure, mediation research, and forestry. His research group regularly publishes on software engineering, AI applications, and digital transformation, with a strong focus on practical industry collaborations. The group has produced numerous workshops (ESAPI, KI4SE), conference proceedings, and practical implementations that bridge academic research and industry needs. He has successfully supervised multiple PhD students to completion and maintains an active doctoral supervision portfolio. His research group collaborates extensively with industry partners, particularly Deutsche Bahn, and regularly organizes events that foster academic-industry dialogue. Prof. Schmietendorf is also active in teaching, offering courses on Service Engineering at the University of Magdeburg and various business informatics topics at HWR Berlin. His teaching emphasizes practical applications of software engineering principles and the integration of emerging AI technologies through hands-on exercises and industry-relevant case studies.

John Vavrinecمشاهده پروفایل

مدرس

• Marine Ecology
• Fisheries Management
• Coastal Ecosystem Restoration
• +۴ مورد دیگر

John Vavrinec, PhD, serves as a Dive Officer and senior research scientist with the Coastal Ecosystems Team at Pacific Northwest National Laboratory (PNNL)-Sequim, while holding a joint appointment as an oceanography instructor at Western Washington University. His career spans over three decades of field research in coastal and estuarine environments across North America, with extensive expertise in marine ecology, oceanography, and scientific diving operations. His educational background includes a PhD in Oceanography from the University of Maine (2003), BS in Environmental and Forest Biology from SUNY College of Environmental Science and Forestry (1992), and AA in Liberal Arts Math and Science from SUNY Stone Ridge (1990). Professional certifications encompass NOAA Working Diver, NAUI Master Diver, TDI Rebreather Diver, and multiple advanced technical diving credentials. Vavrinec's research integrates basic ecological principles with practical conservation management, focusing on subtidal community dynamics, marine protected area effectiveness, and anthropogenic impact assessment. His interdisciplinary approach combines field studies on crab foraging, sea urchin demographics, larval transport, and fish behavior with large-scale restoration projects. Recent work emphasizes coastal habitat rehabilitation and human activity impacts on wild populations, requiring collaboration with fisheries managers, government agencies, and industry stakeholders. His publication record reveals consistent contributions to Columbia River estuary restoration, eelgrass rehabilitation in Puget Sound, and underwater unexploded ordnance (UXO) site characterization. Key research themes include cumulative effects assessment, adaptive management frameworks, and marine ecosystem response metrics to anthropogenic disturbances. 2010 Outstanding Performance Award for unparalleled teamwork and safety focus 2011 Outstanding Performance Award for Cumulative Effects Study support 2011 Team Of The Year Award As a PNNL STEM ambassador and Western Washington University instructor, Vavrinec actively engages K-12 students through the West Sound STEM Network. His operational expertise includes over 3,000 scientific research dives across diverse environments from the Gulf of Maine to the Pacific Northwest, supporting resource assessment, experimental construction, and underwater documentation for federal and academic projects.

Kay Gürtzigمشاهده پروفایل

استاد

• Operating Systems
• Computer Science Fundamentals
• Software Engineering
• +۲ مورد دیگر

Kay Gürtzig serves as Professor of Fundamentals of Computer Science and Operating Systems at the University of Applied Sciences Erfurt, affiliated with the Faculty of Building Services Engineering and Computer Science and the Department of Applied Computer Science. He concurrently holds critical institutional roles as Deputy Data Protection Officer and Chairman of the Faculty Examination Board. His research centers on core computing systems with emphasis on Operating Systems and Computer Science Fundamentals. This encompasses software engineering principles, system architecture, and practical implementation of computational solutions within applied contexts. His work bridges theoretical foundations with real-world technical applications. Prof. Gürtzig maintains direct institutional engagement through governance responsibilities and academic leadership in examination procedures, reflecting his integral position within the university's technical education framework.

• Corruption
• Financial Markets
• Macroeconomics
• +۷ مورد دیگر

LI Wei serves as Professor of Economics, Associate Dean for Asia and Oceania, Director of Case Center, and Director of Big Data Economic Research Center at Cheung Kong Graduate School of Business (CKGSB). Previously holding tenured positions at University of Virginia's Darden School and Duke University's Fuqua School, he maintains extensive global academic connections including visiting professorships at Peking University. His research spans Corruption, Financial Markets, Macroeconomics, Managerial Incentives, Real Estate, Taxation, and Telecommunications Privatization with focus on China's economic transformation. Analysis of his 15 most recent publications reveals dominant themes in currency internationalization , EV industry disruption , cultural globalization , and regional trade dynamics , reflecting China's evolving position in global economic systems. Journal of Political Economy American Economic Review World Economy Journal of Public Economics Emerging Markets Review Professor Li has consulted for multinational firms, Chinese enterprises, and the World Bank while teaching Macroeconomics and Emerging Markets Finance across executive programs. His research center develops the CKGSB Business Conditions Index tracking China's economic trajectory through 13 years of data.

Herbert Zechمشاهده پروفایل

استاد

• Technology Law
• IT Law
• Data Regulation
• +۵ مورد دیگر

Professor Herbert Zech serves as Director at the Weizenbaum Institute Berlin and holds the Chair of Civil Law, Technology Law and IT Law at the Faculty of Law, Humboldt University of Berlin. His dual appointments position him at the forefront of research on the intersection of law and digital technologies, with a particular focus on how legal frameworks can adapt to the challenges posed by artificial intelligence, data governance, and emerging technologies. Professor Zech's research interests span Technology Law, IT Law, Data Regulation, Intellectual Property, Patent Law, AI Regulation, Civil Law, and Life Sciences Law. His work consistently addresses the tension between innovation and regulation, examining how legal systems can foster technological advancement while protecting fundamental rights and societal values. He has made significant contributions to understanding data as a legal construct, the implications of AI for traditional legal concepts, and the protection of intellectual property in digital environments. His recent publications reveal a strong focus on contemporary challenges in digital regulation, particularly the legal aspects of AI systems, data governance frameworks, and platform regulation. Professor Zech's scholarship demonstrates both theoretical depth and practical relevance, often informing policy discussions at the European level. His collaborative work with researchers across multiple institutions highlights his engagement with the broader academic community on pressing issues of digital governance. Among his notable achievements are significant contributions to understanding the legal frameworks for data economies, the implications of AI for intellectual property systems, and the regulation of digital platforms. His work has influenced both academic discourse and policy development in these critical areas. Professor Zech maintains an active research agenda with numerous recent publications addressing cutting-edge issues in technology law. His supervision likely offers students opportunities to engage with pressing legal questions at the intersection of law and technology, particularly in areas related to AI governance, data regulation, and intellectual property in digital environments.

• Childhood theory
• Child Well-being
• Generational and educational order
• +۵ مورد دیگر

Lisa Fischer is a Postdoctoral Researcher at the Department of General and Historical Education within the Faculty of Humanities and Educational Sciences at the Technical University of Berlin. She has been working since 2022 on the BMBF joint project "The Well-being of Children in Socio-Spatial Contexts" (WIKK*I), specifically leading the Ethnography Berlin subproject. Fischer is also a founding member and co-director of the Qualitative Childhood Studies – Early Career Researcher Network since 2019 and serves on the Commission for Anti-Discrimination and Equality at TU Berlin's Faculty I. Her educational background includes dual diplomas in Sociology and Education from Goethe University Frankfurt am Main (2016 and 2015 respectively), following studies in pedagogy, sociology, social psychology and psychoanalysis. Prior to her academic career, she worked as a pedagogical specialist at Rebstock primary school in Frankfurt am Main (2014-2016) and gained research experience through various student assistant positions. Fischer's research centers on childhood theory and digitalization, examining how children navigate relationships and spatial environments in contemporary society. Her doctoral project, ongoing since 2016, investigates "Discursive Relationship Practices of Young People in Digitalized Everyday Worlds," analyzing the tension between relationships as constitutive of modern childhood and cultural debates about children's 'relationship skills' in the context of digital technology use. Her methodological expertise lies in qualitative-empirical approaches, particularly post-structuralist discourse-analytical ethnography. Her recent publications and presentations demonstrate a consistent focus on child well-being, spatial contexts, digital practices, and ethical considerations in childhood research. The trajectory of her work shows increasing attention to intersectional perspectives on children's experiences in learning environments, with particular emphasis on out-of-school settings and the principle of openness. Childhood Research Award from the Martha Muchow Foundation (2018) The International Society for Child Indicators (ISCI) Award in honor of Christine Hunner-Kreisel (2024) Fischer actively supervises early career researchers through her leadership in the Qualitative Childhood Studies network and has presented her work at major international conferences including the DGfE Congress, ISCI conferences, and the ISA World Congress of Sociology. Her research often involves collaborative work with colleagues including Susann Fegter, Stella März, and Karen Geipel, reflecting her commitment to interdisciplinary and international scholarly collaboration.

Wolfram Remlingerمشاهده پروفایل

استاد

• Vehicle Interior Design
• Ergonomics
• Automated Driving Systems
• +۴ مورد دیگر

Wolfram Remlinger is a Professor and Head of Interior Design Engineering at the Institute for Engineering Design and Industrial Design, University of Stuttgart. His work focuses on the analysis, evaluation, and design of vehicle interiors and cockpits, with particular emphasis on innovative computer-aided and model-based design methods for automated driving systems. Professor Remlinger completed his dissertation "Analyse von Sichteinschränkungen im Fahrzeug" (Analysis of Sight Restrictions in Vehicles) at the Technical University of Munich in 2013, earning his Dr.-Ing. (Doctor of Engineering) degree. His academic journey reflects a deep specialization in automotive human factors and ergonomics. Professor Remlinger's research spans vehicle interior design for automated driving , digital human modeling , and ergonomic evaluation methods . He specializes in developing innovative approaches to assess comfort, safety, and usability in next-generation vehicle interiors. His work bridges traditional automotive engineering with emerging technologies like virtual reality , mixed reality , and serious gaming for interior evaluation. A key focus area is analyzing driver take-over scenarios in automated driving systems, examining both physical readiness and cognitive aspects of the human-machine handover process. Analysis of his recent publications (2023-2025) reveals a strong research trajectory focusing on shared automated vehicles, with particular attention to passenger security, comfort optimization, and user acceptance. His methodological approach increasingly incorporates immersive technologies and user-centered frameworks , reflecting the evolving challenges of designing interiors for fully automated mobility. The interdisciplinary nature of his work connects automotive engineering with human factors, cognitive science, and industrial design. Professor Remlinger maintains an active research program with numerous industry collaborations, particularly evident from his extensive patent portfolio with automotive manufacturers like Audi AG. His work demonstrates consistent contribution to both academic knowledge and practical automotive design solutions. Based at the University of Stuttgart in Room 1.204 at Pfaffenwaldring 9, Professor Remlinger leads a research group utilizing advanced simulation technologies and digital human modeling tools to address contemporary challenges in vehicle interior design. His team's work is particularly relevant as the automotive industry transitions toward higher levels of automation and shared mobility concepts.

Christian Djeffalمشاهده پروفایل

استاد

• Artificial Intelligence
• Law and Technology
• Internet Governance
• +۴ مورد دیگر

Christian Djeffal serves as Professor for Law, Innovation and Legal Design at the Technical University of Munich (TUM). Previously, he held significant roles at the Alexander von Humboldt Institute for Internet and Society (HIIG), where he served as project manager, coordinator, and associated researcher. Professor Djeffal's research focuses on the critical intersection of law, technology, and governance in the digital age. His scholarly work spans several interconnected domains: Artificial intelligence governance and ethical implementation in public administration Cybersecurity frameworks and policy development Digital transformation of government services and processes International law, particularly treaty interpretation across time Legal design methodologies for complex technological challenges His publications demonstrate a clear evolution from traditional international legal scholarship toward addressing contemporary challenges in technology governance. Djeffal examines how artificial intelligence, the Internet of Things, and digital platforms are reshaping public administration while navigating the tension between technological innovation and established legal principles. His work consistently seeks practical pathways for responsible innovation within appropriate regulatory frameworks. Professor Djeffal is a sought-after speaker at national and international conferences, regularly presenting on AI governance, digital government transformation, and cybersecurity policy. His expertise bridges theoretical legal scholarship with practical governance challenges, making him a distinctive voice in contemporary legal discourse on technology regulation.

Hui Liuمشاهده پروفایل

استاد

• Software Engineering
• AI-based Software Development
• LLM-based Program Generation
• +۵ مورد دیگر

Hui Liu is a Professor in the School of Computer Science and Technology at Beijing Institute of Technology, where he leads research in AI-based software development with a focus on LLM applications. His work spans software refactoring, quality improvement, and maintenance, funded by the National Natural Science Foundation of China and the National Key Research and Development Program of China. PhD from Peking University (2008) Former graduate student at Software Engineering Institute, Peking University Distinguished member of China Computer Federation Secretary-General of CCF Technical Committee on Software Engineering Professor Liu's research centers on LLM-based program generation, evaluation and testing of large language models, software refactoring techniques, and automatic construction of software engineering datasets. His work bridges artificial intelligence and software engineering, with particular emphasis on improving code quality through empirical studies and machine learning techniques. Current projects include code contamination detection, context-aware naming recommendations, and refactoring validation using LLMs. His research has evolved from traditional code smell detection to cutting-edge applications of large language models in software development. Liu's publication record shows a strong trend toward LLM applications in software engineering, with recent work focusing on code review generation, commit message generation, and refactoring validation using large language models. His research combines empirical methods with machine learning approaches, often analyzing large code corpora from open-source projects. The work spans both theoretical foundations and practical tool development, with several contributions merged into Eclipse as part of the open-source community. ACM Distinguished Paper Award (ESEC/FSE 2023) ACM Distinguished Paper Award (ICSE 2022) RE'2021 Best Research Paper Award IET Software Premium Award (2018) New Century Excellent Talents in University (2013) Beijing Higher Education Young Elite Teacher (2013) Professor Liu actively mentors PhD and Master's students, with recent graduates including Waseem Akram (awarded Outstanding Graduate) and several students publishing at top venues. His research is supported by major Chinese funding agencies, and he serves on program committees for leading software engineering conferences including ASE, ICSE, and FSE. He maintains strong industry connections through contributions to Eclipse and studies of open-source ecosystems like Rust. Liu leads a research group focused on AI for software engineering, with active projects on code generation, refactoring, and quality improvement. The group collaborates extensively with international researchers and contributes directly to open-source tools, particularly in the Eclipse ecosystem where multiple refactoring improvements have been merged.

John Grundyمشاهده پروفایل

استاد

• Software Engineering
• Model-Driven Engineering
• Human-Centric Software Engineering
• +۵ مورد دیگر

John Grundy is a Professor of Software Engineering and Senior Deputy Dean at Monash University's Faculty of Information Technology in Melbourne, Australia. He is also an Australian Laureate Fellow (2020-2026) and leads the "Human-centric Software Engineering" (HumaniSE) research lab. With over 32 years of academic experience, Professor Grundy has held numerous leadership positions including Pro Vice-Chancellor at Deakin University and Dean roles at Swinburne University and the University of Auckland. BSc(Hons), MSc, PhD and DSc degrees in Computer Science from the University of Auckland IEEE Fellow, Fellow of Automated Software Engineering, Fellow of Engineers Australia Lero Parnas Fellow (2023) Recipient of the ACM SIGSOFT Distinguished Service Award (2023) and Dean's Award for Graduate Research Student Supervision (2024) Professor Grundy's research focuses on making "Software Engineering more like traditional Engineering disciplines" through human-centric visual modeling approaches. His primary research areas include model-driven engineering, software architecture, visual languages, software security engineering, and human factors in software development. He specifically investigates how personality, emotions, gender, age, and disability impact software usage, requirements engineering, design, and testing. His current projects include the Visual Wiki platform for knowledge engineering, Marama meta-tools, and Software Process and Product Improvement initiatives. His research has significant implications for accessibility, usability, and the alignment of software applications with diverse user needs. Professor Grundy has published extensively in top software engineering venues and has supervised numerous PhD students throughout his career. IEEE Technical Council on Software Engineering Distinguished Education Award (2014) ACM SIGSOFT Distinguished Service Award (2023) CORE Distinguished Service Award (2023) Lero Parnas Fellow (2023) Dean's Award for Graduate Research Student Supervision (2024) Professor Grundy has supervised numerous PhD students and has received funding for various research projects, most notably his 5-year Australian Laureate Fellowship (2020-2026) focused on human-centric software engineering. His HumaniSE research lab brings together interdisciplinary teams to address challenges in making software systems more responsive to human needs and contexts. His lab focuses on developing new conceptual foundations and modeling techniques that incorporate human factors throughout the software development lifecycle, with applications in smart homes, digital health, and smart city solutions.